Global spatial domain detail controlling method

Abstract

A global spatial domain detail controlling method for an image processor includes adjusting at least one detail parameter corresponding to each pixel during an image processing according to each space position of the each pixel in an image; and performing the each pixel with the image processing according to the at least one detail parameter of the each pixel.

What is claimed is: 
     
       1. A global spatial domain detail controlling method for an image processor, comprising:
 the image processor adjusting at least one detail parameter corresponding to each pixel during an image processing positive-correlatively or negative-correlatively according to a distance from each space position of the each pixel in an image to a center of the image; and 
 the image processor performing the each pixel with the image processing according to the at least one detail parameter of the each pixel. 
 
     
     
       2. The global spatial domain detail controlling method of  claim 1 , wherein a spatial value corresponding to the each space position is expressed as a bivariate polynomial. 
     
     
       3. The global spatial domain detail controlling method of  claim 1 , wherein the image processing comprises a noise reduction control, and the at least one detail parameter comprises an original image weighting and a noise reduction prediction image weighting. 
     
     
       4. The global spatial domain detail controlling method of  claim 3 , wherein the step of the image processor adjusting the at least one detail parameter corresponding to the each pixel during the image processing positive-correlatively or negative-correlatively according to the distance from the each space position of the each pixel in the image to the center of the image comprises:
 the image processor increasing a corresponding first original image weighting and decreasing a corresponding first noise reduction prediction image weighting if a first pixel is in a center of the image, and decreasing a corresponding second original image weighting and increasing a corresponding second noise reduction prediction image weighting if a second pixel is in a corner of the image. 
 
     
     
       5. The global spatial domain detail controlling method of  claim 1 , wherein the image processing comprises a sharpness control, and the at least detail parameter comprises an edge gain. 
     
     
       6. The global spatial domain detail controlling method of  claim 5 , wherein the step of the image processor adjusting the at least one detail parameter corresponding to the each pixel during the image processing positive-correlatively or negative-correlatively according to the distance from the each space position of the each pixel in the image to the center of the image comprises:
 the image processor decreasing a corresponding first edge gain if a first pixel is in a center of the image, and increasing a corresponding second edge gain if a second pixel is a corner of the image. 
 
     
     
       7. The global spatial domain detail controlling method of  claim 1 , wherein the image processing comprises a color saturation control, and the at least detail parameter comprises a color saturation gain. 
     
     
       8. The global spatial domain detail controlling method of  claim 7 , wherein the step of the image processor adjusting the at least one detail parameter corresponding to the each pixel during the image processing positive-correlatively or negative-correlatively according to the distance from the each space position of the each pixel in the image to the center of the image comprises:
 the image processor increasing a corresponding first color saturation gain if a first pixel is in a center of the image, and decreasing a corresponding second color saturation gain if a second pixel is in a corner of the image. 
 
     
     
       9. The global spatial domain detail controlling method of  claim 1 , wherein the image processing comprises a color interpolation control, and the at least detail parameter comprises a color interpolation threshold. 
     
     
       10. The global spatial domain detail controlling method of  claim 9 , wherein the step of the image processor adjusting the at least one detail parameter corresponding to the each pixel during the image processing positive-correlatively or negative-correlatively according to the distance from the each space position of the each pixel in the image to the center of the image comprises:
 the image processor decreasing a corresponding color interpolation threshold if a first pixel is in a center of the image, and increasing a second color interpolation threshold if a second pixel is in a corner of the image.